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  1. 原著論文

Optimization algorithm for overlapping-field plans of scanned ion beam therapy with reduced sensitivity to range and setup uncertainties

https://repo.qst.go.jp/records/46081
https://repo.qst.go.jp/records/46081
c871b16f-66b6-40cb-9137-74e0e6191465
Item type 学術雑誌論文 / Journal Article(1)
公開日 2011-05-28
タイトル
タイトル Optimization algorithm for overlapping-field plans of scanned ion beam therapy with reduced sensitivity to range and setup uncertainties
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Inaniwa, Taku

× Inaniwa, Taku

WEKO 458740

Inaniwa, Taku

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Kanematsu, Nobuyuki

× Kanematsu, Nobuyuki

WEKO 458741

Kanematsu, Nobuyuki

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Furukawa, Takuji

× Furukawa, Takuji

WEKO 458742

Furukawa, Takuji

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Noda, Kouji

× Noda, Kouji

WEKO 458743

Noda, Kouji

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稲庭 拓

× 稲庭 拓

WEKO 458744

en 稲庭 拓

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兼松 伸幸

× 兼松 伸幸

WEKO 458745

en 兼松 伸幸

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古川 卓司

× 古川 卓司

WEKO 458746

en 古川 卓司

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野田 耕司

× 野田 耕司

WEKO 458747

en 野田 耕司

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抄録
内容記述タイプ Abstract
内容記述 A 'patch-field' strategy is often used for tumors with large volumes exceeding
the available field size in passive irradiations with ion beams. Range and setup
errors can cause hot and cold spots at the field junction within the target. Such
errors will also displace the field to miss the target periphery. With scanned ion beams with fluence modulation, the two junctional fields can be overlapped rather than patched, which may potentially reduce the sensitivity to these uncertainties. In this study, we have developed such a robust optimization algorithm. This algorithm is composed of the following two steps: (1) expanding the target volume with margins against the uncertainties, and (2) solving the inverse problem where the terms suppressing the dose gradient of individual fields are added into the objective function. The validity of this algorithm is demonstrated through simulation studies for two extreme cases of two fields with unidirectional and opposing geometries and for a prostatecancer case. With the proposed algorithm, we can obtain a more robust plan with minimized influence of range and setup uncertainties than the conventional plan. Compared to conventional optimization, the calculation time for the robust optimization increased by a factor of approximately 3.
書誌情報 Physics in Medicine and Biology

巻 56, 号 6, p. 1653-1669, 発行日 2011-01
ISSN
収録物識別子タイプ ISSN
収録物識別子 0031-9155
DOI
識別子タイプ DOI
関連識別子 10.1088/0031-9155/56/6/009
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